Associate Professor
University of California, San Diego
La Jolla, California, United States
Dr. Lingyan Shi is currently an Assistant Professor in the Shu Chien-Gene Lay Department of Bioengineering at UC San Diego. Her research focuses on developing high resolution optical spectroscopy and imaging platforms, and its applications for studying metabolic dynamics in aging and diseases. She discovered the “Golden Window” for deep tissue imaging and developed bioorthogonal metabolic imaging platforms that combine deuterium probing and stimulated Raman scattering (DO-SRS using heavy water and STRIDE with D-glucose) for visualizing metabolic activities in situ. The Shi group transformed SRS into a super resolution microscopy with chemical selectivity by developing Adam optimization-based Pointillism Deconvolution (A-PoD) methods. Dr. Shi holds six awarded patents. She won the Blavatnik Regional Award for Young Scientist in 2018; the Hellman Fellowship Award 2021; the “Rising Star Award” by LaserFocusWorld, and the “Rising Star Award” by Nature Light Science & Applications in 2021; the “Advancing Bioimaging Scialog Fellow” by RCSA and the Chan Zuckerberg Initiative in 2021, 2022, and 2023; and the Sloan Research Fellow Award in Chemistry 2023.
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Thursday, October 24, 2024
1:30 PM - 1:45 PM EST
Poster F2 - Fasting induced lipid metabolic changes in drosophila intestines during aging
Friday, October 25, 2024
10:00 AM - 11:00 AM EST
Poster F4 - HIA-NN Enhanced Precise Subcellular Metabolic Profiling in Hyperspectral SRS Imaging
Friday, October 25, 2024
10:00 AM - 11:00 AM EST
Poster R8 - Molecule Detection with Stimulated Raman Scattering and SVM spectral classification
Friday, October 25, 2024
10:00 AM - 11:00 AM EST
Poster S1 - Spatially correlated metabolic nanoscopy to study aging and diseases
Friday, October 25, 2024
10:00 AM - 11:00 AM EST
Poster S2 - STRIDE-SRS and 2PEF Imaging of Glucose Uptake Under Insulin Receptor Regulation
Friday, October 25, 2024
10:00 AM - 11:00 AM EST
Poster R4 - Biorthogonal metabolic imaging of brain during aging and diseases
Saturday, October 26, 2024
10:00 AM - 11:00 AM EST